Remove unused function to fix build error.

Fix some long lines.
microsoft · Dec 23, 2024 · d8ef92b · d8ef92b
1 parent 41fb824
commit d8ef92b
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Showing 3 changed files with 10 additions and 17 deletions.
diff --git a/include/onnxruntime/core/session/onnxruntime_c_api.h b/include/onnxruntime/core/session/onnxruntime_c_api.h
@@ -1344,6 +1344,8 @@ struct OrtApi {
    * Create a tensor with user's buffer. You can fill the buffer either before calling this function or after.
    * p_data is owned by caller. ReleaseValue won't release p_data.
    *
+   * If you wish to transfer ownership of p_data to ORT use CreateTensorWithDataAndDeleterAsOrtValue.
+   *
    * \param[in] info Memory description of where the p_data buffer resides (CPU vs GPU etc).
    * \param[in] p_data Pointer to the data buffer.
    * \param[in] p_data_len The number of bytes in the data buffer.

diff --git a/onnxruntime/core/framework/onnxruntime_typeinfo.cc b/onnxruntime/core/framework/onnxruntime_typeinfo.cc
@@ -86,8 +86,8 @@ ORT_API_STATUS_IMPL(OrtApis::CastTypeInfoToOptionalTypeInfo, _In_ const OrtTypeI
   API_IMPL_END
 }
 
-ORT_API_STATUS_IMPL(OrtApis::GetDenotationFromTypeInfo, _In_ const OrtTypeInfo* type_info, _Out_ const char** const out,
-                    _Out_ size_t* len) {
+ORT_API_STATUS_IMPL(OrtApis::GetDenotationFromTypeInfo, _In_ const OrtTypeInfo* type_info,
+                    _Out_ const char** const out, _Out_ size_t* len) {
   API_IMPL_BEGIN
   *out = type_info->denotation.c_str();
   *len = type_info->denotation.size();
@@ -115,8 +115,8 @@ ORT_API_STATUS_IMPL(OrtApis::CreateSparseTensorTypeInfo, _In_ const OrtTensorTyp
   API_IMPL_END
 }
 
-ORT_API_STATUS_IMPL(OrtApis::CreateMapTypeInfo, ONNXTensorElementDataType map_key_type, _In_ const OrtTypeInfo* map_value_type,
-                    _Out_ OrtTypeInfo** type_info) {
+ORT_API_STATUS_IMPL(OrtApis::CreateMapTypeInfo, ONNXTensorElementDataType map_key_type,
+                    _In_ const OrtTypeInfo* map_value_type, _Out_ OrtTypeInfo** type_info) {
   API_IMPL_BEGIN
   auto ti = std::make_unique<OrtTypeInfo>(ONNXType::ONNX_TYPE_MAP);
   ti->map_type_info = std::make_unique<OrtMapTypeInfo>(map_key_type, map_value_type->Clone());
@@ -126,7 +126,8 @@ ORT_API_STATUS_IMPL(OrtApis::CreateMapTypeInfo, ONNXTensorElementDataType map_ke
   API_IMPL_END
 }
 
-ORT_API_STATUS_IMPL(OrtApis::CreateSequenceTypeInfo, _In_ const OrtTypeInfo* sequence_type, _Out_ OrtTypeInfo** type_info) {
+ORT_API_STATUS_IMPL(OrtApis::CreateSequenceTypeInfo, _In_ const OrtTypeInfo* sequence_type,
+                    _Out_ OrtTypeInfo** type_info) {
   API_IMPL_BEGIN
   auto ti = std::make_unique<OrtTypeInfo>(ONNXType::ONNX_TYPE_SEQUENCE);
   ti->sequence_type_info = std::make_unique<OrtSequenceTypeInfo>(sequence_type->Clone());
@@ -136,7 +137,8 @@ ORT_API_STATUS_IMPL(OrtApis::CreateSequenceTypeInfo, _In_ const OrtTypeInfo* seq
   API_IMPL_END
 }
 
-ORT_API_STATUS_IMPL(OrtApis::CreateOptionalTypeInfo, _In_ const OrtTypeInfo* contained_type, _Out_ OrtTypeInfo** type_info) {
+ORT_API_STATUS_IMPL(OrtApis::CreateOptionalTypeInfo, _In_ const OrtTypeInfo* contained_type,
+                    _Out_ OrtTypeInfo** type_info) {
   API_IMPL_BEGIN
   auto ti = std::make_unique<OrtTypeInfo>(ONNXType::ONNX_TYPE_OPTIONAL);
   ti->optional_type_info = std::make_unique<OrtOptionalTypeInfo>(contained_type->Clone());

diff --git a/onnxruntime/core/session/onnxruntime_c_api.cc b/onnxruntime/core/session/onnxruntime_c_api.cc
@@ -126,17 +126,6 @@ ORT_STATUS_PTR CreateTensorImpl(MLDataType ml_type, const int64_t* shape, size_t
   return nullptr;
 }
 
-ORT_STATUS_PTR CreateTensorImplForSeq(MLDataType elem_type, const int64_t* shape, size_t shape_len, Tensor& out) {
-  OrtAllocator* allocator;
-  // TODO(pranav): what allocator should be used to create the tensor here?
-  // for the sake of simplicity of the API using the default one here
-  ORT_API_RETURN_IF_ERROR(OrtApis::GetAllocatorWithDefaultOptions(&allocator));
-  AllocatorPtr alloc_ptr = std::make_shared<onnxruntime::IAllocatorImplWrappingOrtAllocator>(allocator);
-  TensorShape tensor_shape(shape, shape_len);
-  out = Tensor(elem_type, tensor_shape, std::move(alloc_ptr));
-  return nullptr;
-}
-
 // Create Tensor with existing data. Tensor does not own memory.
 ORT_STATUS_PTR CreateTensorImpl(MLDataType ml_type,
                                 const int64_t* shape, size_t shape_len,